The Australian Community Reference Climate Data Collection @ NCI shapefile collection contains the following:
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/aus_local_gov/
- Shapefiles describing the local government areas of Australia
- See
aus_local_gov.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/aus_states_territories/
- Shapefiles describing the states and territories of Australia
- See
aus_states_territories.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/australia/
- Shapefiles describing the Australian coastline
- See
australia.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/broadacre_regions/
- Shapefiles describing the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) broadacre zones and regions
- See
broadacre_regions.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/NCRA_Marine_region/
- Shapefiles describing the National Climate Risk Assessment (NCRA) marine region for Australia.
- See
ncra_marine_region.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/ncra_regions/
- Shapefiles describing the National Climate Risk Assessment (NCRA) regions of Australia.
- See
ncra_regions.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/NCRA_regions_coastal_waters_GDA94/
- Shapefiles describing the Australian coastal waters areas divided by NCRA regions
- See
ncra_coastal_waters.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/nrm_regions/
- Shapefiles describing the natural resource management (NRM) clusters
- See
nrm_regions.ipynb
for details
/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/river_regions/
- Shapefiles describing the topographic drainage divisions and river regions derived from the Australian Hydrological Geospatial Fabric
- See
river_regions.ipynb
for details
Most programming languages have libraries for reading in shapefiles and selecting geographic data points that fall within them.
If your workflow is based around Python and xarray, you can typically read a shapefile using geopandas. The resulting GeoDataFrame can then be passed to a function from the regionmask or clisops library to select grid points from an xarray data set that fall within the shape/s.
See python_tutorial.ipynb
for a worked example using regionmask and the shapefiles in this collection.
TODO.